Lead Engineer, Machine Learning
Tasks
- Architect high performance inference systems
- Build data pipelines for real world and synthetic training data
- Build training and fine tuning pipelines
- Collaborate with research and application engineering
- Design evaluation systems for capability and safety
- Establish production infrastructure for model deployment
- Iterate on models using real world performance data
- Monitor and continuously improve deployed models
- Own end to end machine learning systems
Perks/Benefits
- N/A
Skills/Tech-stack
Data pipeline | Deep learning | Fine Tuning | GPU Computing | JAX | Machine Learning | Model Deployment | Model Evaluation | Model Fine-tuning | Model Inference | Model Monitoring | Model Training | PyTorch | Python
Education
N/A
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